Technology identifies that an end effector is provisioned to a robot. The technology accesses identification data of the end effector. The identification data is specific to the end effector. The identification data includes one or more of at least one setting associated with the end effector or at least one parameter associated with the end effector. The technology controls the end effector based on the identification data to adjust one or more runtime parameters of the robot based on the identification data.

A method, apparatus, and computer-readable storage media for robotic programming are disclosed. To improve upon or even solve the dilemma that teach-in techniques cannot work for all kinds of objects and offline programming requires complicated simulation of a robot and objects, a solution is provided to use a virtual item marked by a marker during programming of the robot and display the virtual item to a user. As such, even very large items can be used and also replaced easily during programming, which makes the programming procedures go smoothly and efficiently.

A dual-arm robot assembling system including a controlling unit, a GUI, a first robotic-arm, and a second robotic-arm is disclosed. The GUI provides a graphic program editing page, which provides multiple instruction blocks used for editing a graphical program executed by the assembling system. At least one of the first robotic arm and the second robotic arm is disposed with a point-teaching tool thereon. Before the controlling unit controls the two robotic arms to perform an assembling operation based on the graphical program, a manager may directly drag the two robotic arms through the point-teaching tool, so as to implement a point-teaching procedure for the two robotic arms. Therefore, the assembling system may accomplish the assembling operation through the two robotic arms with cooperative movement.

Disclosed herein is a device, system and method for determining error in robotic manipulator-to-camera calibration. The method includes detecting a test object by a camera coupled to a robotic manipulator. One or more test points are identified on the test object based on a CAD model and pre-defined contact points corresponding to the test object. Arm poses are determined for the robotic manipulator to reach the test points on the 3D test object by using current robotic manipulator-to-camera calibration. While driving an end effector of the robotic manipulator based on the arm poses, any contact of the end effector on the 3D test object is recorded upon receiving a feedback from the 3D test object. An error is determined in the current robotic manipulator-to-camera calibration based on current position of the end effector relative to the one or more test points on the 3D test object.

Methods of calibrating a position of a component include providing a robot with a gripper and crush and crash sensors, a calibration tool coupled to the gripper, and the component, which has a recess and a crush zone. The methods also include moving the gripper in a first direction to sense contact between the calibration tool and the crush zone, recording the contact position, and moving the gripper to insert the tool into the recess. The gripper is then moved in second directions to sense contact between the tool and the recess and moved in third directions to also sense contact between the tool and the recess. The methods further include recording and processing the contact positions to determine a surface location in the first direction and a physical center of the recess. Robot calibration apparatus for performing the method is also disclosed, as are other aspects.

A control device estimates a position and pose of an imaging device relative to a robot based on an image of the robot captured by the imaging device. A simulation device arranges a robot model at a teaching point, and generates a simulation image of the robot model captured by a virtual camera that is arranged so that a position and pose of the virtual camera relative to the robot model in the virtual space coincide with the estimated position and pose of the imaging device. The control device determines an amount of correction of a position and pose of the robot for the teaching point so that the position and pose of the robot on the actual image captured after the robot has been driven according to a movement command to the teaching point approximate to the position and pose of the robot model on the simulation image.

The present disclosure provides a robot pose determination method including: collecting laser frames; calculating a current pose of the robot in a map pointed by a first pointer based on the laser frames, and obtaining an amount of the laser frames having been inserted into the map pointed by the first pointer; inserting the laser frames into a map pointed by the first pointer, if less than a first threshold; inserting the laser frames into the map pointed by the first pointer and a map pointed by a second pointer, if greater than or equal to the first threshold and less than a second threshold; and pointing the first pointer to the map pointed by the second pointer, pointing the second pointer to a newly created empty map, and inserting the laser frames into the map pointed by the first pointer, if equal to the second threshold.

A direct pose feedback (DPF) control method applied to a DPF controlled machine is provided. The DPF control method includes a pose compensation control in addition to the position feedback control. The pose compensation control includes an initiation step, a reference system step, an actual pose calculation step and a position compensation step. The sum of the primary driving value and the compensation driving value is output to the driver of each of the motors. The advantage of the DPF control method is that the existing real-time position control loop in the controller can remain unchanged, while the pose compensation control is added to eliminate tool pose error resulted from geometric errors in the machine. The DPF controlled machine uses a pose measuring mechanism to measure the actual pose of the tool and to compensate the tool pose error. Hence, the DPF controlled machine is free of geometric errors.

A method for deburring an aeronautical part with an articulated tooling including a plurality of axes of rotation, the aeronautical part including at least one edge to be deburred, the articulated tooling including a tool holder, holding a calibration tool and a machining tool, the calibration tool and the machining tool being fixed to the tool holder and being immovable relative to one another, the method including steps of calibrating the calibration tool and the machining tool, of parameterizing the aeronautical part, of deburring the at least one edge to be deburred with the machining tool moving along a predetermined trajectory, on the basis of the parameters obtained during the parameterization step.

A calibration method for performing calibration in a computer vision system using a three-dimensional reference object asymmetric as viewed in any direction and having predetermined dimensions includes calculating, based on three-dimensional shape data about the three-dimensional reference object and three-dimensional measurement data obtained through three-dimensional measurement of the three-dimensional reference object, a position and an orientation of the three-dimensional reference object relative to a measurement unit coordinate system defined for the three-dimensional measurement unit, and calculating a reference-measurement unit transformation matrix representing a coordinate transformation between the measurement unit coordinate system and a reference coordinate system defined for the three-dimensional reference object.